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Optical Engineering

Detection of dim targets in digital infrared imagery by morphological image processing
Author(s): Jean-Francois Rivest; Roger Fortin
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Paper Abstract

We describe the development and the implementation of a new nonlinear image processing methodology to detect dim targets in infrared images. The methodology is based on mathematical morphology. In a first phase, the image is filtered in order to enhance positively contrasted, isotropic objects with a specified size. Then, a simple motion analysis is carried out, and finally, detection is performed by thresholding. A complete study of the algorithm performance on NATO test sequences is presented. A comparison is made with the Holmes filter and the scale-subtraction filter, a wavelet-based method.

Paper Details

Date Published: 1 July 1996
PDF: 8 pages
Opt. Eng. 35(7) doi: 10.1117/1.600620
Published in: Optical Engineering Volume 35, Issue 7
Show Author Affiliations
Jean-Francois Rivest, Univ. of Ottawa (Canada)
Roger Fortin, Defence Research Establishment (Canada)

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